Choosing a Flutter Chart Package: fl_chart vs Syncfusion vs graphic

We already have deep dives on two of the contenders on this blog: an fl_chart how-to covering line, bar, pie and touch callbacks, and a Syncfusion walkthrough of series, trackballs and ChartSeriesController. What neither post does is put the whole field on one table, because a third credible option, the grammar-of-graphics library graphic, rarely shows up in the usual shootouts. This post compares all three on the axes that actually decide projects: mental model, interaction depth, licensing, and maintenance risk.

The field at a glance

	fl_chart	syncfusion_flutter_charts	graphic
Version (Nov 2026)	1.3.1 (Nov 9)	35.1.46 (Nov 11)	2.7.0 (Feb 25)
License	MIT	Commercial or free Community License	MIT
Likes / total downloads	7.2k / 2.31M	3.6k / 266k	904 / 41k
Maintainer	Individual (flchart.dev)	Syncfusion (20k+ customers)	Single author (entronad)
Model	Data classes + CustomPainter	Widget series with mappers	Grammar of Graphics spec
Dependencies	equatable, vector_math	intl, material_ui, syncfusion_flutter_core	collection, path_drawing, vector_math

Two things jump out immediately. Syncfusion releases continuously (35.1.46 landed the day before this was written, newer than the 35.1.43 in our Syncfusion deep dive), while graphic last shipped in February. And download counts track audience, not capability: graphic is the least known but implements the most theory.

Three mental models, three code shapes

fl_chart asks you to configure one big immutable data object per chart:

LineChart(
  LineChartData(
    lineBarsData: [
      LineChartBarData(
        spots: const [FlSpot(0, 1), FlSpot(1, 3), FlSpot(2, 2)],
        isCurved: true,
      ),
    ],
    titlesData: const FlTitlesData(),
  ),
)

Syncfusion binds your own model through closures and picks the axis type explicitly:

SfCartesianChart(
  primaryXAxis: DateTimeAxis(),
  series: <LineSeries<SalesData, DateTime>>[
    LineSeries<SalesData, DateTime>(
      dataSource: sales,
      xValueMapper: (d, _) => d.date,
      yValueMapper: (d, _) => d.total,
    ),
  ],
)

graphic declares a pipeline instead of a chart type, data flows through variables into marks:

Chart(
  data: rows,
  variables: {
    'date': Variable(accessor: (Row r) => r.date),
    'value': Variable(accessor: (Row r) => r.value),
  },
  marks: [LineMark()],
  axes: [Defaults.horizontalAxis, Defaults.verticalAxis],
)

The Chart widget is graphic’s only public widget: coordinates (RectCoord, PolarCoord), encodes (ColorEncode, SizeEncode), modifiers (StackModifier, DodgeModifier), tooltips and selections are all constructor arguments. Grouping is position algebra, Varset('date') * Varset('value') / Varset('type'), where / nests by a variable. It is a steeper ramp and a much wider ceiling.

Feature depth where it matters

• Chart types: Syncfusion lists 30+ (candle, ohlc, histogram, waterfall, box and whisker, pyramid, funnel, sparklines). fl_chart covers line, bar, pie, scatter, radar and candlestick. graphic ships marks (interval, line, area, point, polygon, custom) that combine into most of those, plus heatmaps and rose charts via PolarCoord.
• Interaction: Syncfusion is ahead out of the box: trackball, crosshair, zoom and pan, selection, collapsing legends, auto-scroll. fl_chart gives per-chart touch callbacks and programmable tooltips, which is enough for dashboards but means assembling zoom yourself. graphic uses named selections driving encode updaters, plus gestureStream and selectionStream for external coupling.
• Live data: Syncfusion’s updateDataSource(addedDataIndexes: ...) patches a series cheaply. fl_chart tweens between data objects when you rebuild. graphic re-renders on setState with transition animations if marks carry a tag.
• Customization: fl_chart is deep but painter-shaped. graphic is the only one where a custom geometry is a first-class extension: subclass IntervalShape, implement drawGroupPrimitives(), and get lollipops, gauges or bullet charts without touching the library.

Licensing and supply chain

fl_chart and graphic are MIT with no strings, which matters for client work with strict dependency reviews. Syncfusion’s pub page carries an explicit disclaimer: you need a Commercial License or the free Community License, and the community tier is reserved for teams under $1M annual revenue with 5 or fewer developers and 10 or fewer employees. Outgrow it and you are buying a license mid-project.

The flip side is bus-factor risk. fl_chart has been maintained by one developer since 2019 with healthy momentum (2.31M downloads, active releases). graphic is one author, a February release, and 41k downloads, which is fine for an internal tool and worth a fork plan for a flagship product. Syncfusion is a company with support contracts, at the price of a heavy dependency tree (syncfusion_flutter_core, intl, material_ui) that you carry everywhere, even for one sparkline.

Performance and size habits

All three are pure Dart painting through CustomPainter-style pipelines, so none adds platform channels or native binaries. The practical differences: fl_chart comfortably handles hundreds of points per series, so trim the visible window and disable dots on dense data. Syncfusion’s series controller exists precisely so live ticks do not rebuild the whole chart. graphic re-renders the whole mark set on data change, so pre-aggregate large datasets before they reach data. For tight list rows, Syncfusion’s sparkline family is purpose-built; for a MIT-only budget, a small LineChart from fl_chart is lighter than anything else here.

Which one to pick

• Pick fl_chart for the standard dashboard: MIT, the biggest ecosystem and sample gallery, and a configuration API your team will learn in an afternoon. Our fl_chart deep dive is the on-ramp.
• Pick Syncfusion when the brief says financial-grade interaction, 30+ chart types or sparklines everywhere, and your headcount fits the Community License. The Syncfusion deep dive covers the series and controller APIs.
• Pick graphic when charts are bespoke (custom shapes, unusual coordinates, layered specs) or when you want grammar-of-graphics rigor, and you accept a smaller maintainer and slower cadence.
• Pick a hand-rolled CustomPainter only when the chart is genuinely trivial and no axis logic is needed, which is rarer than it sounds.

Takeaway: Match the package to the shape of the work, not the download count: fl_chart for mainstream MIT dashboards with light interaction, Syncfusion for deep interaction and breadth when your team clears its Community License thresholds, and graphic for bespoke, spec-driven visualizations where custom marks and coordinates matter more than release cadence.

Sources

• https://pub.dev/packages/fl_chart
• https://pub.dev/packages/syncfusion_flutter_charts
• https://pub.dev/packages/graphic
• https://raw.githubusercontent.com/entronad/graphic/main/skills/flutter-chart/SKILL.md